As the classical analysis tool, Poincaré plot is widely applied to various nonlinear signals. Via Poincaré plot, the physiological status of heart can be shown by different distribution pattern of scatter points. In this paper, a novel quantitative index is presented, which is used to analyze these distributions patterns. In this study, the micro change of consecutive R-peak time intervals is considered in the novel index and experiment results demonstrate that the three physiological statuses of heart can be classified effectively. Hence, the novel index can be used in the recognition and classification of cardiac diseases.
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